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Research Data Management 101 for Scientists

Scientists work with lots of data both big and small, and in many formats and systems. This workshop will introduce data management practices for scientists to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented through a sciences lens using discipline-based, concrete examples. During the workshop, participants will also engage in discussions with their peers on data management concepts as well as learn about one specific tool as a method to assess how tools can enable specific data management practices. The tool explored in this workshop will be GitHub - a robust version control tool.

While good general data management practices are relevant across disciplines, participants working specifically within the sciences are the intended audience for this workshop.

This workshop is eligible for 2 hours of Graduate School RCR Credits.

The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience  participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.

Related LibGuide: Research Data Management by Jen Darragh

Date:
Monday, March 2, 2020
Time:
1:30pm - 3:30pm
Location:
Bostock 127 (The Edge Workshop Room)
Campus:
West Campus
Categories:
Data and Visualization  

Event Organizer

Profile photo of Jen Darragh
Jen Darragh
Profile photo of Sophia Lafferty-Hess
Sophia Lafferty-Hess
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Center for Data and Visualization Sciences